Summary
Rohan Banerjee is a PhD candidate in Computer Science at Cornell with 11 years of hands-on experience building and validating autonomy and perception systems. His work bridges academic research and industry practice, from LIDAR mapping and rural road detection to autonomous vehicle validation in CARLA and human-in-the-loop failure analysis. Prior roles at MIT CSAIL, Autoliv, NASA Goddard, and Northrop Grumman show a consistent focus on robust sensor processing, simulation-driven testing, and applied ML for robotics. He has taught introductory machine learning at Cornell and contributed to conversational and multimodal robotics projects, indicating strength in both algorithms and system integration. Based in Ithaca, he combines rigorous engineering (Velodyne point-cloud registration, test-bench automation) with research depth, making him adept at turning simulation insights into deployable validation workflows. An underappreciated thread in his resume is repeated cross-domain experience—from spaceflight timing systems to automotive LIDAR—that sharpens his ability to generalize solutions across challenging sensing environments.
11 years of coding experience
3 years of employment as a software developer
Master of Engineering - MEng Electrical Engineering and Computer Science, Master of Engineering - MEng Electrical Engineering and Computer Science at Massachusetts Institute of Technology
Physics/Applied Mathematics, Physics/Applied Mathematics at Thomas Jefferson High School for Science and Technology
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Cornell University
English, Spanish